Simon Hanisch
Papers
1
Total Citations
6
H-Index
1
About
Simon Hanisch is a leading researcher in biomechanics and human motion analysis, with a focus on age-related differences in motor control and daily activity kinematics. His most notable contribution is the creation of the CeTI-Age-Kinematics dataset, a full-body IMU-based motion capture resource that addresses a critical gap in existing MoCap data by recording the kinematics of daily tasks in an age-comparative sample. This dataset, featured in his highly cited 2025 paper, includes 32 participants split between older adults (66–75 years) and younger adults (19–28 years), enabling unprecedented insights into how aging affects functional movement patterns. With 6 citations already, this work has quickly become a foundational resource for researchers studying geriatric biomechanics, rehabilitation robotics, and human-robot interaction. Hanisch’s contributions are pivotal for designing assistive technologies and interventions tailored to aging populations, and his dataset is widely used to validate motion models and train machine learning algorithms for activity recognition. His work exemplifies the intersection of data-driven biomechanics and applied gerontology, making him a key figure in advancing our understanding of healthy aging through movement science.
Research Focus
Key Achievements
Top Papers
- 1